Package: BAYSTAR 0.2-10

BAYSTAR: On Bayesian Analysis of Threshold Autoregressive Models

Fit two-regime threshold autoregressive (TAR) models by Markov chain Monte Carlo methods.

Authors:Cathy W. S. Chen, Edward M.H. Lin, F.C. Liu, and Richard Gerlach

BAYSTAR_0.2-10.tar.gz
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BAYSTAR_0.2-10.tgz(r-4.4-any)BAYSTAR_0.2-10.tgz(r-4.3-any)
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BAYSTAR.pdf |BAYSTAR.html✨
BAYSTAR/json (API)

# Install 'BAYSTAR' in R:
install.packages('BAYSTAR', repos = c('https://edmhlin.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.30 score 2 stars 4 scripts 343 downloads 8 exports 3 dependencies

Last updated 3 years agofrom:0b6d09544d. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 18 2024
R-4.5-winOKNov 18 2024
R-4.5-linuxOKNov 18 2024
R-4.4-winOKNov 18 2024
R-4.4-macOKNov 18 2024
R-4.3-winOKNov 18 2024
R-4.3-macOKNov 18 2024

Exports:BAYSTARTAR.coeffTAR.lagdTAR.likTAR.sigmaTAR.simuTAR.summaryTAR.thres

Dependencies:codalatticemvtnorm